In the course on inequality measures, we’ve seen how to compute various (standard) inequality indices, based on some sample of incomes (that can be binned, in various categories). On Thursday, we discussed the fact that incomes can be related to different variables (e.g. experience), and that comparing income inequalities between countries can be biased, if they have very different age structures.

So we’ve seen quantile regressions. I can mention some old slides (used in a crash course at McGill three years ago), as well as a more technical discussion on ties, and non-unicity of the regression line.